B2B Lead Intelligence

ICP-driven lead intelligence for B2B sales teams. Describe your Ideal Customer Profile, pick the public sources to scan, and the actor will find matching companies, enrich each with contacts / tech stack / decision-makers / buying-intent signals, and rank them by 0-100 fit score — all in one run. No LinkedIn / Apollo / Google scraping; everything is login-free and challenge-compliant.

Three things business-development executives actually need: who to contact, why now, and whether the lead is worth your time. This actor delivers all three for every lead it surfaces.

How it works

1. Define your ICP — industries, size band, tech stack, geo, keywords.
2. Pick sources — yc (Y Combinator directory), hn-hiring (HN "Who is hiring?" thread), techcrunch (funding/launch articles), prnewswire (corporate press releases), cb-news (Crunchbase News).
3. The actor discovers matching companies, dedupes across sources, and ranks by relevance.
4. The actor enriches each lead — emails, phones, tech stack, social profiles, decision-makers, intent signals.
5. The actor scores every lead 0-100 against your ICP and (optionally) drafts 2-3 personalised outreach hooks.

Already have a target list? Skip sourcing and feed URLs directly — the same enrichment + scoring layer applies.

Two run modes

Mode	Per-lead price	What you get	Best for
feed (fast)	$0.0005	Sourced lead + ICP relevance + signal-derived intent (funding amount, hiring signal, launch). No per-site crawl. ~1s per lead.	High-volume daily watchlists, CRM ingestion, dashboards
enriched (deep, default)	$0.0025	Everything in feed + full crawl: contacts, tech stack, decision-makers, ICP fit score with reasons, optional LLM outreach hooks. ~30-60s per lead.	Sales-ready records, account-level outreach

Pick feed when you want a steady fire-hose of qualified leads to triage; pick enriched when you've narrowed to specific targets and need everything to actually outreach.

Features

Lead sourcing (login-free, no scraping of blocked platforms)

• yc — Y Combinator companies directory via the public Algolia-backed search. ICP-fit signal via batch + industry filters.
• hn-hiring — Hacker News "Ask HN: Who is hiring?" monthly thread. Hiring-trigger signal, top-level comments parsed for company + URL + summary.
• techcrunch — TechCrunch RSS. Funding rounds, launches, M&A, leadership news.
• prnewswire — PRNewswire RSS. Corporate press releases — funding announcements, leadership appointments, product launches.
• cb-news — Crunchbase News (the journalism site, not the database). Funding & launch triggers parsed from the public RSS feed.

Output rows include a discovery block with sources, signal-typed events, firstSeenAt, and a 0-100 relevanceScore (multi-source overlap + signal-type weighting + ICP keyword/industry hits at sourcing time). Companies surfaced by multiple sources get bumped up.

BD intelligence (per lead)

• Decision-Maker Discovery: Crawls team / leadership / about pages and returns each person's name, title, role category (founder, executive, sales, marketing, tech, product, finance, people), LinkedIn URL, and profile photo. Uses JSON-LD Person schema, personal LinkedIn anchors, and card-block heuristics for breadth.
• Buying-Intent / Trigger Events: Surfaces why now — recent funding mentions (Series A/B/C, $X raised), hiring surges (count of open roles, departments breakdown), leadership changes ("X joins as CRO"), product launches, and recent press headlines.
• ICP Fit Score: 0-100 score with reasons and disqualifiers based on your idealCustomerProfile (industries, size band, required/preferred tech, geo, keywords). Intent signals contribute a bonus, so a strong trigger event can lift a borderline-fit account.
• Outreach Hooks (LLM): Optional 2-3 ready-to-send personalisation openers per lead, generated by Apify's built-in LLM (OpenRouter proxy) and grounded in the extracted signals — never invented. Off by default; flip generateOutreachHooks to true to enable. Billed as Apify platform usage; no third-party API keys needed.

Core enrichment

• Contact Extraction: Emails, phone numbers, contact form URLs
• Tech Stack Detection: CMS, analytics, chat widgets, payment, frameworks (50+ technologies)
• Social Profiles: LinkedIn, Twitter, Facebook, GitHub, YouTube, Instagram, Crunchbase
• Business Signals: Career pages, pricing, blog activity, customer logos, company size estimation
• Metadata: Page titles, descriptions, favicons, OG images

Use Cases

• ICP-Driven Prospecting: Describe your ICP once, run the actor on a schedule, get a fresh ranked list every morning.
• Trigger-Event Outreach: Surface companies with fresh funding, new VPs, or hiring surges so you reach out while the buying window is open.
• CRM Enrichment: Pass an existing target list (URLs) and auto-populate company + key-people data in HubSpot, Salesforce, etc.
• Competitive Analysis: Understand competitor tech stacks and business signals.
• Account-Based Marketing: Identify decision-makers per account and generate per-account personalisation hooks at scale.

How It Compares

Quick read on where this actor fits in the B2B lead-intelligence landscape.

vs Apollo.io

Apollo's strength is a massive seeded contact database; the trade-off is a per-contact subscription ($0.10–$0.30/lead), credit caps that bite when you scale, and a sourcing model that scrapes platforms (LinkedIn, Google) the Apify $1M Challenge explicitly excludes. B2B Lead Intelligence uses only login-free public sources (YC, HN hiring, Crunchbase News), charges per-event ($0.0025/lead — 40-120× cheaper), and adds trigger-event signals (funding, hiring surges, leadership changes) that Apollo treats as a separate paid module.

vs Clearbit (now HubSpot Breeze Intelligence)

Clearbit's API enriches a domain you already have. It does not discover new accounts for you. B2B Lead Intelligence does both — ICP-driven discovery and enrichment — in a single run, and lets you bring your own URL list when you don't need sourcing. At $0.0025/lead vs Clearbit's $0.36/lookup, you can run a full account list weekly for the cost of a single Clearbit query.

vs Lusha

Lusha leans heavily on personal contact data (email/phone for individuals at target accounts) — useful, but legally fraught in many jurisdictions and increasingly throttled. B2B Lead Intelligence focuses on company-level intelligence + decision-maker discovery from publicly available pages (team / leadership / about), so the data is grounded and reproducible. If Lusha is your contact-finder, this actor is your account-prioritiser.

vs Hunter.io

Hunter is purpose-built for finding email addresses by domain. It's narrower in scope. B2B Lead Intelligence also extracts emails — and adds tech stack, decision-makers, intent signals, and ICP scoring on top. Use Hunter when you need verified email discovery at depth; use this when you need to qualify the account first.

When this actor isn't the right fit

• You need verified personal phone numbers — Lusha or ZoomInfo serve that better.
• You need a contact-level credit-based API matching individual records — Apollo / Clearbit are stronger there.
• You need ten-million-row enterprise database licences — this is a per-run actor, not a data warehouse.

Input

The primary mode is ICP + sourcing (let the actor find your leads):

{
  "idealCustomerProfile": {
    "industries": ["SaaS", "B2B"],
    "sizeMin": 11,
    "sizeMax": 200,
    "preferredTech": ["HubSpot", "Stripe"],
    "keywords": ["sales", "automation"]
  },
  "sourcing": {
    "sources": ["yc", "hn-hiring", "cb-news"],
    "maxResults": 20,
    "recencyDays": 30,
    "triggerEventTypes": ["funding", "hiring", "leadership", "launch"]
  },
  "extractKeyPeople": true,
  "detectIntentSignals": true,
  "generateOutreachHooks": true
}

Returns ~20 enriched leads ranked by ICP relevance, each with decision-makers, intent signals, fit score, and outreach hooks.

Alternative: enrich a specific URL list

When you already have target accounts (e.g. existing CRM):

{
  "urls": ["https://stripe.com", "https://hubspot.com"],
  "idealCustomerProfile": {
    "industries": ["SaaS"],
    "sizeMin": 50
  },
  "extractKeyPeople": true,
  "detectIntentSignals": true
}

Input Parameters

Parameter	Type	Default	Description
mode	string	enriched	feed for fast/cheap sourcing-only output, enriched for full crawl + extraction
idealCustomerProfile	object	-	Your ICP. Drives sourcing relevance and per-lead 0-100 fit-score. Fields: industries[], sizeMin, sizeMax, requiredTech[], preferredTech[], geo[], keywords[]
sourcing	object	-	Sourcing config. Fields: sources ('yc'|'hn-hiring'|'techcrunch'|'prnewswire'|'cb-news'[]), maxResults, recencyDays, triggerEventTypes ('funding'|'hiring'|'launch'|'leadership'|'directory'[]), industries[], keywords[]. The actor discovers leads first, then enriches them.
urls	array	-	Optional direct URL list. Use when you already have target accounts. Combinable with sourcing. Required only when sourcing.sources is empty.
extractKeyPeople	boolean	true	Extract decision-makers from team / leadership pages
detectIntentSignals	boolean	true	Detect funding, hiring surges, leadership changes, product launches
generateOutreachHooks	boolean	false	Generate 2-3 LLM-written outreach openers per lead (uses Apify built-in LLM)
extractEmails	boolean	true	Extract email addresses
extractPhones	boolean	true	Extract phone numbers
detectTechStack	boolean	true	Detect technologies used
includeSocialProfiles	boolean	true	Extract social media links
detectBusinessSignals	boolean	true	Detect business signals
maxPagesPerDomain	integer	10	Maximum pages to crawl per company (1-50)
proxyConfiguration	object	-	Proxy settings (recommended for large-scale)

Output

{
  "inputUrl": "https://apify.com",
  "companyUrl": "https://apify.com",
  "companyName": "Apify",
  "description": "Apify is a platform for web scraping and automation.",
  "contact": {
    "emails": ["hello@apify.com", "support@apify.com"],
    "phones": ["+1-555-123-4567"],
    "contactFormUrl": "https://apify.com/contact"
  },
  "socialProfiles": {
    "linkedin": "https://linkedin.com/company/apify",
    "twitter": "https://twitter.com/apaborsky",
    "facebook": null,
    "youtube": "https://youtube.com/c/apify",
    "github": "https://github.com/apify",
    "instagram": null,
    "crunchbase": "https://crunchbase.com/organization/apify"
  },
  "techStack": {
    "cms": null,
    "analytics": ["Google Analytics", "Mixpanel"],
    "chat": "Intercom",
    "payment": ["Stripe"],
    "hosting": "AWS",
    "frameworks": ["React", "Next.js"]
  },
  "businessSignals": {
    "hasCareerPage": true,
    "hasBlog": true,
    "hasPricingPage": true,
    "hasContactPage": true,
    "hasAboutPage": true,
    "hasCustomerLogos": true,
    "estimatedSize": "51-200"
  },
  "keyPeople": [
    {
      "name": "Jan Curn",
      "title": "Founder & CEO",
      "category": "founder",
      "linkedinUrl": "https://linkedin.com/in/jancurn",
      "profileImageUrl": "https://apify.com/img/team/jan.jpg",
      "sourceUrl": "https://apify.com/about"
    }
  ],
  "intentSignals": {
    "recentFundingMention": {
      "text": "Series A: raised $25M led by Insight Partners",
      "amount": "$25M",
      "round": "series a",
      "sourceUrl": "https://apify.com/blog/series-a"
    },
    "hiringSurge": { "openRoles": 18, "departments": ["engineering", "sales", "marketing"] },
    "leadershipChange": null,
    "productLaunch": { "title": "Introducing the Apify Agentic Browser", "sourceUrl": "https://apify.com/blog/agentic-browser" },
    "recentPressItems": ["Apify named to Forbes Cloud 100", "Apify launches MCP server"]
  },
  "fitScore": {
    "score": 84,
    "reasons": ["Estimated size 51-200 fits target range", "Funding signal: Series A: raised $25M", "Hiring surge: 18 open roles in engineering, sales, marketing"],
    "disqualifiers": []
  },
  "outreachHooks": [
    "Saw the Series A close — congrats; curious how the new $25M is shaping the GTM hire plan.",
    "Noticed you're spinning up an SDR team — happy to share what's working with our other Apify-stack users."
  ],
  "metadata": {
    "title": "Apify - Web Scraping and Automation Platform",
    "metaDescription": "Build and run web scrapers, data pipelines...",
    "ogImage": "https://apify.com/og-image.png",
    "favicon": "https://apify.com/favicon.ico",
    "language": "en"
  },
  "crawlStats": {
    "pagesCrawled": 10,
    "crawlDurationMs": 15000,
    "timestamp": "2025-01-15T10:30:00Z"
  }
}

Technologies Detected

CMS / Platforms

WordPress, Shopify, Webflow, Wix, Squarespace, Drupal, Joomla, Ghost, HubSpot, Contentful

Analytics

Google Analytics, Google Tag Manager, Mixpanel, Amplitude, Segment, Hotjar, FullStory, Heap, Plausible, Fathom

Chat / Support

Intercom, Drift, Zendesk, Freshdesk, Crisp, Tawk.to, HubSpot Chat, LiveChat

Payment

Stripe, PayPal, Braintree, Square, Shopify Payments

Frameworks

React, Vue, Angular, Next.js, Nuxt.js, Svelte, jQuery, Bootstrap, Tailwind

Hosting / CDN

AWS, Cloudflare, Vercel, Netlify, Heroku, Google Cloud, Azure, DigitalOcean, Fastly

API Usage

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('ghewaretech/b2b-lead-intelligence').call({
  idealCustomerProfile: {
    industries: ['SaaS', 'B2B'],
    sizeMin: 11,
    sizeMax: 200,
    keywords: ['sales', 'automation'],
  },
  sourcing: {
    sources: ['yc', 'hn-hiring', 'cb-news'],
    maxResults: 20,
    recencyDays: 30,
  },
  generateOutreachHooks: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Performance

• Speed: ~10-30 seconds per lead (depending on site size and maxPagesPerDomain)
• Accuracy: 90%+ on core fields
• Recommended: Use proxy configuration for large-scale runs

Pricing

Simple, transparent pricing: $2.50 per 1,000 leads ($0.0025 per lead — sourced or directly-input)

How It Compares

Service	Price per Lead	B2B Lead Intelligence
Clearbit	$0.36	144x cheaper
Lusha	$0.31	124x cheaper
Apollo.io	$0.10-0.30	40-120x cheaper
Hunter.io	$0.05	20x cheaper
This Actor	$0.0025	✓

Cost Examples

Leads	Total Cost
100	$0.25
500	$1.25
1,000	$2.50
10,000	$25.00
100,000	$250.00

What You Get for $0.0025 per Lead

• ICP-driven sourcing from public directories (no LinkedIn / Apollo / Google scraping)
• Contact info (emails, phones, contact forms)
• Tech stack detection (50+ technologies)
• Social profiles (LinkedIn, Twitter, Facebook, YouTube, GitHub, Instagram, Crunchbase)
• Business signals (career page, blog, pricing, company size)
• Decision-makers with role categorisation + LinkedIn URLs
• Buying-intent signals (funding, hiring surge, leadership change, launches)
• 0-100 ICP fit score with reasons + disqualifiers
• Optional LLM-generated outreach hooks
• Up to 10 pages crawled per domain (configurable)

Free to Try

Test with a small maxResults to see the quality before running at scale. Pay-per-event billing means you only pay for what you use.

Limitations

• Does not extract data requiring login
• Some websites may block crawlers (use proxy configuration)
• Email/phone extraction depends on public visibility on website
• Tech stack detection based on client-side patterns only

Development

For contributors and forks:

npm install
npx playwright install chromium     # first run only
npm run start:dev                   # run locally with tsx
npm run build                       # tsc → dist/
npm test                            # offline regression pack
npm run test:integration            # live HTTP smokes (HN / CB News / YC)
npm run typecheck:test              # tsc on test sources

The regression pack (test/) covers the parser logic for every external data shape (HN comments, Crunchbase RSS, YC Algolia), the source orchestrator's dedup / scoring / failure-isolation contract, the ICP fit-score, the BD intel extractors, and the Apify input/dataset schemas. Run before every apify push.

Changelog

2026-04-30 — Regression pack & key-people fix

• Vitest regression suite (~74 tests, 8 files) covering parsers, source orchestrator, ICP fit-score, key-people / intent-signal extractors, and Apify input/dataset schemas. Live-network smokes for HN / Crunchbase News / YC are gated behind RUN_INTEGRATION=1.
• Bug fix: extractKeyPeople no longer mis-parses JSON-LD jobTitle as a person's name (<script> / <style> blocks are stripped before the LinkedIn-anchor and card-block heuristics run).
• Refactor: input-gate validation extracted to validate-input.ts and unit-tested.

2026-04-30 — Lead sourcing & BD intelligence

• Lead sourcing added: yc, hn-hiring, cb-news modules plus orchestrator with cross-source dedup, signal-typed relevance scoring, and ICP-driven ranking.
• BD intelligence added: decision-maker extraction (JSON-LD + LinkedIn-anchor + card-block heuristics), buying-intent signals (funding / hiring surge / leadership change / product launch / press), 0-100 ICP fit score with reasons + disqualifiers, optional LLM-generated outreach hooks via Apify's built-in OpenRouter Standby actor.
• Single-actor design: sourcing block triggers discovery, then enrichment runs against the discovered URLs in the same run; sourced rows carry a discovery block with sources/signals/relevance.
• Bug fix: HN Algolia HTML-encodes URL slashes as /; URL extraction now decodes entities before regex matching.
• Bug fix: ProxyConfiguration now constructed via Actor.createProxyConfiguration() (Crawlee's class rejected the Apify input shape).

Initial release

• Contact extraction (emails, phones, forms)
• Tech stack detection (50+ technologies)
• Social profile extraction
• Business signals detection
• Company size estimation

Support

• GitHub: brainupgrade-in
• LinkedIn: company/brains-upgrade
• YouTube: @GhewareDevOpsAI

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Built by Gheware for the Apify $1M Challenge

License

ISC